Data Engineer-Data Platforms-Google - 3

As a seasoned Data Engineer specializing in Google's data platforms, you will design, build, and maintain data engineering solutions on Google's Cloud ecosystem. You will utilize your expertise in Google's services and open-source technologies to deliver scalable and efficient data pipelines.

Your primary responsibilities will include:

• Design Data Pipelines: Design and develop batch and real-time data pipelines for Data Warehouse and Datalake using Google Cloud services such as Data Proc, Data Flow, Pub Sub, Big Query, and Big Table.

• Develop Data Engineering Solutions: Build and maintain data engineering solutions using Google Cloud Storage, Big Table, Big Query Data Proc with Spark and Hadoop, Google Data Flow with Apache Beam or Python, and other open-source technologies like Apache Airflow, dbt, Spark/Python, or Spark/Scala.

• Manage Data Platforms: Schedule and manage the data platform using Google Cloud Scheduler and Cloud Composer (Airflow), ensuring seamless data pipeline operations.

• Optimize Data Layer: Design and optimize the data layer for efficient data migration and data processing using Google Cloud services.

• Ensure Scalability: Ensure scalability and efficiency of data pipelines and data engineering solutions to meet business needs.

This role can be performed from anywhere in the United States of America